machine learning

Hello! My name is Syed Mohammad Qasim, a PhD candidate at the Department of Electrical and Computer Engineering, Boston University. This summer I worked on the project ML-Powered Problem Detection in Chameleon as part of the Summer of Reproducibility (SoR) program with the mentorship of Ayse Coskun and Michael Sherman.

Hello! I’m Qianru! I have been contributing to the BenchmarkST: Cross-Platform, Multi-Species Spatial Transcriptomics Gene Imputation Benchmarking project under the mentorship of Ziheng Duan. My project aims to provide a standardized, easily accessible evaluation framework for gene imputation in spatial transcriptomics.

Background Hello, I’m Lihaowen (Jayce) Zhu, a 2024 SoR contributor for the FEP-bench project, under the mentorship of Yuyang (Roy) Huang. Before we started, let’s recap the goal of our project and our progress until mid term.

Introduction Hello! I hope you’re enjoying the summer as much as I am. I’m excited to join the SOR community as a 2024 contributor. My name is Xikang Song, and I’m thrilled to collaborate with mentors Ruidan Li and Kexin Pei on the FSA-Benchmark project.

Introduction Hello, I’m Peiran Qin, a CS student at the University of Chicago. This summer I worked on the project FetchPipe: Data Science Pipeline for ML-based Prefetching under the mentorship of Prof.

Introduction Hello, I’m Peiran Qin, a CS student at the University of Chicago, currently working on the project FetchPipe: Data Science Pipeline for ML-based Prefetching under the mentorship of Prof. Haryadi S.

Introduction Hi, I’m Xikang Song, a 2024 SoR contributor to the project, working with mentors Ruidan Li and Kexin Pei. Our FSA-Benchmark project is dedicated to exploring and benchmarking various machine learning models to identify disks at high risk of fail-slow anomalies.

Hi there! I am Rafael Sinjunatha Wulangsih, a Telecommunication Engineering graduate from the Bandung Institute of Technology (ITB), Bandung, Indonesia. I’m currently contributing to the “EdgeRep: Reproducing and benchmarking edge analytic systems” project under the mentorship of Yuyang (Roy) Huang and Prof.

Hello, I’m Mahdi Banisharifdehkordi, a Ph.D. student in Computer Science at Iowa State University. I’m currently working on the AIIO / Graph Neural Network project under the guidance of Bin Dong and Suren Byna.

Hello there! I’m Qianru, and this is my mid-term blog post for the 2024 Google Summer of Code. I am working on the BenchmarkST project, focusing on benchmarking gene imputation methods in spatial transcriptomics.